Alexander J. Root
PhD Student Department of Computer Science Stanford University Office: 464 Gates Email: ajroot [at] stanford [dot] edu Curriculum Vitae Google Scholar Github |
I am a Stanford CS PhD student advised by Fredrik Kjolstad, currently working on compilers for sparse array programming and high-performance simulations. My research interests broadly include domain-specific languages, compilers, and architectures for high-performance numerical computing, with an emphasis on visual computing applications. I am generously supported by the NSF GFRP and a Stanford School of Engineering fellowship.
I graduated with my bachelor’s (‘21) and master’s (‘22) from MIT, working under Jonathan Ragan-Kelley and Andrew Adams, where I worked on vector instruction selection, fixed-point computing systems, and bounds inference. I also interned with Andrew, Shoaib Kamil, and Maaz Bin Safeer Ahmad at Adobe Research in the summers of 2021 and 2022, on the same topics. Part of my undergraduate work on fixed-point compute systems was advised by Frédo Durand.
Much of my pre-PhD research was applied to the Halide compiler, and I remain somewhat active in the language’s development.
Publications
Fast Instruction Selection for Fast Digital Signal Processing Alexander J. Root, Maaz Bin Safeer Ahmad, Dillon Sharlet, Andrew Adams, Shoaib Kamil, and Jonathan Ragan-Kelley International Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS), March 2023 |
Vector Instruction Selection for Digital Signal Processors Using Program Synthesis Maaz Bin Safeer Ahmad, Alexander J. Root, Andrew Adams, Shoaib Kamil, and Alvin Cheung International Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS), March 2022 |
Teaching
CS 343S: Domain-Specific Language Design Studio Teaching Fellow (TF) Spring 2024, Stanford University |
CS 343D: Domain-Specific Programming Models and Compilers Course Assistant (CA) Winter 2023 and 2024, Stanford University |
6.818: Dynamic Computer Language Engineering Teaching Assistant (TA) Fall 2021, MIT |
6.006: Introduction to Algorithms Teaching Assistant (TA) Spring 2019 and 2020, MIT |
MEET Computer Science Instructor January 2019, MIT MEET (Global Teaching Labs) |